Vijay Gadepally

Orcid: 0009-0004-5782-7137

Affiliations:
  • Massachusetts Institute of Technology, MIT, Lincoln Laboratory, Lexington, MA, USA


According to our database1, Vijay Gadepally authored at least 195 papers between 2009 and 2024.

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Bibliography

2024
GPU Sharing with Triples Mode.
CoRR, 2024

LLload: An Easy-to-Use HPC Utilization Tool.
CoRR, 2024

Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring.
CoRR, 2024

HPC with Enhanced User Separation.
CoRR, 2024

Anonymized Network Sensing Graph Challenge.
CoRR, 2024

What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic.
CoRR, 2024

LLM Inference Serving: Survey of Recent Advances and Opportunities.
CoRR, 2024

LLload: Simplifying Real-Time Job Monitoring for HPC Users.
CoRR, 2024

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference.
CoRR, 2024

LLload: Simplifying Real-Time Job Monitoring for HPC Users.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Teaching Network Traffic Matrices in an Interactive Game Environment.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Sprout: Green Generative AI with Carbon-Efficient LLM Inference.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
SeeSaw: Interactive Ad-hoc Search Over Image Databases.
Proc. ACM Manag. Data, December, 2023

Neural scaling of deep chemical models.
Nat. Mac. Intell., October, 2023

Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems.
CoRR, 2023

Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning.
CoRR, 2023

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service.
Proceedings of the International Conference for High Performance Computing, 2023

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems.
Proceedings of the International Conference for High Performance Computing, 2023

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Lincoln AI Computing Survey (LAICS) Update.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023


Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023


An Analysis of Energy Requirement for Computer Vision Algorithms.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023


Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022
Building Heterogeneous Cloud System for Machine Learning Inference.
CoRR, 2022

SeeSaw: interactive ad-hoc search over image databases.
CoRR, 2022

Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters.
CoRR, 2022

Developing a Series of AI Challenges for the United States Department of the Air Force.
CoRR, 2022

The MIT Supercloud Workload Classification Challenge.
CoRR, 2022

GraphBLAS on the Edge: High Performance Streaming of Network Traffic.
CoRR, 2022

FastFlows: Flow-Based Models for Molecular Graph Generation.
CoRR, 2022

New Phenomena in Large-Scale Internet Traffic.
CoRR, 2022

Zero Botnets: An Observe-Pursue-Counter Approach.
CoRR, 2022

Mashup: making serverless computing useful for HPC workflows via hybrid execution.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Green(er) World for A.I.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022


Characterizing Multi-Instance GPU for Machine Learning Workloads.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022


Energy-aware neural architecture selection and hyperparameter optimization.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

ExSample: Efficient Searches on Video Repositories through Adaptive Sampling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022


AI and ML Accelerator Survey and Trends.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022


Python Implementation of the Dynamic Distributed Dimensional Data Model.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Benchmarking Resource Usage for Efficient Distributed Deep Learning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022



Ad-hoc Searches on Image Databases.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022

A Survey of Data Challenges Across a Modernizing Bureaucracy: A New Perspective on Examining Old Government Problems.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022

MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Examples are All You Need: Iterative Data Discovery by Example in Data Lakes.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Graphulo: Linear Algebra Graph Kernels.
Proceedings of the Massive Graph Analytics, 2022


2021
DBOS: A DBMS-oriented Operating System.
Proc. VLDB Endow., 2021

DICE: Data Discovery by Example.
Proc. VLDB Endow., 2021

Bringing Atomistic Deep Learning to Prime Time.
CoRR, 2021

Scalable Geometric Deep Learning on Molecular Graphs.
CoRR, 2021

The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes.
CoRR, 2021

Technical Report on Data Integration and Preparation.
CoRR, 2021

Video Action Understanding.
IEEE Access, 2021

RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances.
Proceedings of the International Conference for High Performance Computing, 2021

Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Mathematics of Digital Hyperspace.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Supercomputing Enabled Deployable Analytics for Disaster Response.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Maneuver Identification Challenge.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021


AI Accelerator Survey and Trends.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Realizing Forward Defense in the Cyber Domain.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Improved Compression for Word Embeddings by Scaling Principal Components.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Serving Machine Learning Inference Using Heterogeneous Hardware.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021


Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021


2020
Poly'19 Workshop Summary: GDPR.
SIGMOD Rec., 2020

Video Action Understanding: A Tutorial.
CoRR, 2020

DBOS: A Proposal for a Data-Centric Operating System.
CoRR, 2020

Fast Mapping onto Census Blocks.
CoRR, 2020

Technical Report: Developing a Working Data Hub.
CoRR, 2020

AI Data Wrangling with Associative Arrays.
CoRR, 2020

75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Classifying Anomalies for Network Security.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Benchmarking network fabrics for data distributed training of deep neural networks.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

GraphChallenge.org Triangle Counting Performance.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Survey of Machine Learning Accelerators.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020



GraphChallenge.org Sparse Deep Neural Network Performance.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Accuracy and Performance Comparison of Video Action Recognition Approaches.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Homomorphic Encryption Based Secure Sensor Data Processing.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Best of Both Worlds: High Performance Interactive and Batch Launching.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Towards Data Discovery by Example.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

A Polystore Based Database Operating System (DBOS).
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

2019
AI Enabling Technologies: A Survey.
CoRR, 2019

A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases.
CoRR, 2019

One Size Does Not Fit All: Querying Web Polystores.
IEEE Access, 2019

RedisGraph GraphBLAS Enabled Graph Database.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Survey and Benchmarking of Machine Learning Accelerators.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019


Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Hypersparse Neural Network Analysis of Large-Scale Internet Traffic.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Sparse Deep Neural Network Graph Challenge.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Survey of Attacks and Defenses on Edge-Deployed Neural Networks.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Large Scale Parallelization Using File-Based Communications.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Optimizing Xeon Phi for Interactive Data Analysis.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

The BigDAWG codeline.
Proceedings of the Making Databases Work: the Pragmatic Wisdom of Michael Stonebraker, 2019

2018
Don't Even Ask: Database Access Control through Query Control.
SIGMOD Rec., 2018

Database Operations in D4M.jl.
CoRR, 2018

FastDAWG: Improving Data Migration in the BigDAWG Polystore System.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2018

Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers.
Proceedings of the High Performance Computing, 2018

Design, Generation, and Validation of Extreme Scale Power-Law Graphs.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

GraphChallenge.org: Raising the Bar on Graph Analytic Performance.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018


Database Operations in D4M.j1.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Sparse Deep Neural Network Exact Solutions.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

2017
Exploring big volume sensor data with Vroom.
Proc. VLDB Endow., 2017

Learning by doing, High Performance Computing education in the MOOC era.
J. Parallel Distributed Comput., 2017

Static Graph Challenge: Subgraph Isomorphism.
CoRR, 2017

BigDAWG Polystore Release and Demonstration.
CoRR, 2017

D4M 3.0.
CoRR, 2017

Version 0.1 of the BigDAWG Polystore System.
CoRR, 2017

An Emerging Role for Polystores in Precision Medicine.
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017

SoK: Cryptographically Protected Database Search.
Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017

Database engine integration and performance analysis of the BigDAWG polystore system.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Static graph challenge: Subgraph isomorphism.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

MIT SuperCloud portal workspace: Enabling HPC web application deployment.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

D4M 3.0: Extended database and language capabilities.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Streaming graph challenge: Stochastic block partition.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Performance measurements of supercomputing and cloud storage solutions.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

BigDAWG version 0.1.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

A cloud-based brain connectivity analysis tool.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

Enabling query processing across heterogeneous data models: A survey.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Polystore mathematics of relational algebra.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Benchmarking SciDB Data Import on HPC Systems.
CoRR, 2016

High-throughput Ingest of Provenance Records into Accumulo.
CoRR, 2016

A Framework for Estimating Long Term Driver Behavior.
CoRR, 2016

The BigDAWG Architecture.
CoRR, 2016

Enforced Sparse Non-negative Matrix Factorization.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Benchmarking the graphulo processing framework.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016


Enhancing HPC security with a user-based firewall.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

High-throughput ingest of data provenance records into Accumulo.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Associative array model of SQL, NoSQL, and NewSQL databases.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

In-storage embedded accelerator for sparse pattern processing.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Scalability of VM provisioning systems.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Cross-engine query execution in federated database systems.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

The BigDAWG polystore system and architecture.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

The BigDawg monitoring framework.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Julia implementation of the Dynamic Distributed Dimensional Data Model.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

LLMapReduce: Multi-level map-reduce for high performance data analysis.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2015
A Demonstration of the BigDAWG Polystore System.
Proc. VLDB Endow., 2015

Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs.
CoRR, 2015

Large Enforced Sparse Non-Negative Matrix Factorization.
CoRR, 2015

Computing on Masked Data to improve the Security of Big Data.
CoRR, 2015

Graphulo: Linear Algebra Graph Kernels for NoSQL Databases.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Enabling on-demand database computing with MIT SuperCloud database management system.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Improving Big Data visual analytics with interactive virtual reality.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Parallel vectorized algebraic AES in Matlab for rapid prototyping of encrypted sensor processing algorithms and database analytics.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Lustre, hadoop, accumulo.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Graphulo implementation of server-side sparse matrix multiply in the Accumulo database.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Big Data strategies for Data Center Infrastructure management using a 3D gaming platform.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

D4M: Bringing associative arrays to database engines.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Using a Power Law distribution to describe big data.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Sampling large graphs for anticipatory analytics.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Sampling operations on big data.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
A Framework for Estimating Driver Decisions Near Intersections.
IEEE Trans. Intell. Transp. Syst., 2014

Using 3D Printing to Visualize Social Media Big Data.
CoRR, 2014

Parallel MATLAB Techniques.
CoRR, 2014

Percolation Model of Insider Threats to Assess the Optimum Number of Rules.
CoRR, 2014

A Hands-on Education Program on Cyber Physical Systems for High School Students.
CoRR, 2014

A survey of cryptographic approaches to securing big-data analytics in the cloud.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Computing on masked data: a high performance method for improving big data veracity.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Achieving 100, 000, 000 database inserts per second using Accumulo and D4M.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Big data dimensional analysis.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

2011
Driver/vehicle state estimation and detection.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2010
MATLAB for Signal Processing on Multiprocessors and Multicores.
IEEE Signal Process. Mag., 2010

2009
A Computational Science IDE for HPC Systems: Design and Applications.
Int. J. Parallel Program., 2009


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